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历史时期宝鸡地区地震灾害的时空分布特征 被引量:4

Studyon the spatial-temporal distribution characteristics of earthquake disasters in the historyof Baoji
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摘要 目的探讨分析历史时期宝鸡地震灾害的时空分布特征。方法通过对历史文献资料的搜集和整理,对101-2000年间宝鸡地区地震灾害的记录数据做了统计和分析。结果历史时期宝鸡地区地震灾害在时空分布上呈现出不甚均匀的特性。在时间方面,百年际变化呈现周期性的起伏变化,显示相对平静和显著活跃相互交替的特点;在空间方面,震灾的高发区主要集中在岐山、凤翔、陇县。统计显示宝鸡较大的震害大部分来自于邻近地区的波及震,震源在宝鸡地区的较大震害较少。结论近年来,随着南北地震带地震活动的增强,宝鸡地区受到邻区中强地震活动的波及影响也更加明显。因而该地区的地震区位分析和地震预测成为未来防震抗震的关键问题。 Purposes-To discuss and analyze the spatial-temporal distribution characteristics of earthquake disasters in the history of Baoji, Shaanxi,China. Methods- The recorded data of earth-quake disasters in Baoji area from 101 to 2000 were analyzed and counted based on the records of historical documents. Results- In the historical period, the earthquake disasters in Baoji region were not even uniformity in time and space. In terms of time,the century-interannual variability presented the periodic fluctuation,showing the alternative characteristics of significant activity and relative calmness. In terms of space,the high incidence area of earthquake disasters mainly concentrated in the zones of Qishan Country, Fengxiang Country and Longxian Country. What’ s more,the statistics showed that most large damages in Baoji come from its neighboring areas from which earthquakes spread shock to it ,and there is less major earthquake damage whose sources are in Baoji. Conclu-sions-In recent years, with the augmentation of the north-south seismic belt's seismic activity, it is more obvious that Baoji is affected by the strong earthquake activities in adjacent regions. Thus , the analysis of the earthquake location and the prediction of earthquake in this region become the key issue in the future anti-seismic activities.
出处 《宝鸡文理学院学报(自然科学版)》 CAS 2016年第3期59-63,共5页 Journal of Baoji University of Arts and Sciences(Natural Science Edition)
基金 国家自然科学基金(41071359) 陕西省教育厅重点实验室项目(15JS008) 陕西省教育科学"十二五"规划课题(SGH140676) 宝鸡市科技计划项目(14SFGG-2) 宝鸡文理学院重点教改项目(JGZD15017) 宝鸡文理学院重点项目(ZK16031) 陕西省自然地理学重点学科资助
关键词 宝鸡地区 地震灾害 时空分布 Baoji region earthquake disasters spatial-temporal distribution
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